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Microarray technology is highlighted for high-throughput gene expression profiling to support cancer categorization and reduce subjectivity in traditional morphological diagnosis. The work identifies limitations in prior feature selection and classifiers (including parameter inefficiency and ineffective thresholding), then proposes a method using Z-score normalization, Levy flight cuckoo search optimization, and a weighted convolutional neural network to predict lung cancer accurately on the Kent Ridge Bio-Medical Dataset Repository.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/lung-cancer-diagnosis-based-on-weighted-convolutional-neural-network-using-gene-data-expression/330097/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/lung-cancer-diagnosis-based-on-weighted-convolutional-neural-network-using-gene-data-expression/330097.png","ImageObject",300,407,{"name":92,"@type":93},"Himbo","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-05","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why is early lung cancer prediction important?","Question",{"text":112,"@type":113},"Early detection enables proper therapy and helps extend life expectancy. The document notes a low five-year survival rate without timely intervention.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What role does microarray technology play in lung cancer analysis?",{"text":117,"@type":113},"Microarrays capture thousands of genes simultaneously by measuring mRNA abundance. They support distinguishing normal vs. cancer tissues and identifying genes linked to lung cancer subtypes and biomarkers.",{"name":119,"@type":110,"acceptedAnswer":120},"What approach is proposed to improve lung cancer prediction?",{"text":121,"@type":113},"The method combines Z-score normalization, Levy flight cuckoo search optimization, and a weighted convolutional neural network. It is reported to improve precision, recall, and accuracy on the Kent Ridge Bio-Medical Dataset Repository.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},330097,1790924067,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},687197100911,"https://ap-avatar.wpscdn.com/avatar/a000239b6f1da00475?x-image-process=image/resize,m_fixed,w_180,h_180&k=1785132997149421697","[www. nature.com/scientificreports](www. nature.com/scientificreports)  \nOPEN  \nLung cancer diagnosis based on weighted convolutional neural network using gene data expression  \nThangamani M1, Manjula Sanjay Koti2, Nagashree B.A3, Geetha V4, Shreyas K.P 5, Sandeep Kumar Mathivanan6 & GemmachisTeshite Dalu7*  \nLung cancer is thought to be a genetic disease with a variety of unknown origins. Globocan2020 report tells in 2020 new cancer cases identified was 19.3 million and nearly 10.0 million died owed to cancer. GLOBOCAN envisages that the cancer cases will raised to 28.4 million in 2040. This charge is superior to the combined rates ofthe former generally prevalent malignancies, like breast, colorectal, and prostate cancers. For attribute selection in previous work, the information gain model was applied. Then, for lung cancer prediction, multilayer perceptron, random subspace, and sequential minimal optimization (SMO) are used. However, the total number of parameters in a multilayer perceptron can become extremely large. This is inefficient because of the duplication in such high dimensions, and SMO can become ineffective due to its calculating method and maintaining a single threshold value for prediction. To avoid these difficulties, our research presented a novel technique including Z-score normalization, levy flight cuckoo search optimization, and a weighted convolutional neural network for predicting lung cancer. This result findings show that the proposed technique is effective in precision, recall, and accuracy for the Kent Ridge Bio-Medical Dataset Repository.  \nLung cancer  \nLung cancer is a deadly disease in both men and women. However, its prediction remains quite dismal, with a five-year survival rate of around 10% across most international locations. As a result, anticipating lung cancer at an early stage is critical to provide proper therapy to the patient and extend their life expectancy. Microarray technology is very effective at detecting and visualizing various cancer types. Cancer categorization is the most promising use of this technique, and it has received substantial research globally1,2. Because traditional diagnostic procedures depend on the subjective judgment of the morphological emergence of the tissue test, it is challenging to classify tumors with similar histopathological appearance (phenotype). However, with the growth of microarray technologies, analysts applied expression array analysis in their investigations. The rationale for this is that the microarray records the activity of a few thousand of genes simultaneously and few genetics are pertinent to illness3–5.  \nMicroarray technology  \nMicroarray is an excellent tool for diagnosis and precise class prediction. Microarray technology is pivotal in lung cancer classification, providing a comprehensive snapshot of gene expression profiles. This high-throughput method allows simultaneous analysis of thousands of genes, offering unparalleled insights into molecular  \n1Department of Computer Science and Engineering, Hindusthan Institute of Technology, Valley Campus, Pollachi Highway, Othakkalmandapam (Post), Coimbatore, Tamil Nadu 641032, India. 2Department of Master of Computer Applications, Dayananda Sagar Academy of Technology and Management, Bangalore, Karnataka 560082, India. 3Department of Computer Science, School of Computing, Amrita Vishwa Vidyapeetham, Mysuru 570026, India. 4Department of Computer Science, School of Applied Sciences, REVA University, Bangalore 560064, India. 5Department of Computer Science and Applications, School of Computer Science and Applications, REVA University, Bangalore 560064, India. 6School of Computing Science and Engineering, Galgotias University, Greater Noida 203201, India. 7Department of Software Engineering, College of Computing and Informatics, Haramaya University, POB 138 Dire Dawa, Ethiopia.* email: [gemmachis.teshite@haramaya.edu.et](gemmachis.teshite@haramaya.edu.et)  \n[www. nature.com/scientificrepo","cbCaiuRL2trkC4bx","https://ap.wps.com/l/cbCaiuRL2trkC4bx","pdf",2593088,15,"English","# Abstract and Background\n## Lung cancer and the need for early diagnosis\n## Microarray technology for gene expression analysis\n# Proposed Method\n## Feature selection and optimization approach\n## Levy Flight Cuckoo Search algorithm\n## Weighted convolutional neural network prediction","[{\"question\":\"Why is early lung cancer prediction important?\",\"answer\":\"Early detection enables proper therapy and helps extend life expectancy. The document notes a low five-year survival rate without timely intervention.\"},{\"question\":\"What role does microarray technology play in lung cancer analysis?\",\"answer\":\"Microarrays capture thousands of genes simultaneously by measuring mRNA abundance. They support distinguishing normal vs. cancer tissues and identifying genes linked to lung cancer subtypes and biomarkers.\"},{\"question\":\"What approach is proposed to improve lung cancer prediction?\",\"answer\":\"The method combines Z-score normalization, Levy flight cuckoo search optimization, and a weighted convolutional neural network. It is reported to improve precision, recall, and accuracy on the Kent Ridge Bio-Medical Dataset Repository.\"}]","Lung cancer diagnosis based on weighted convolutional neural network using gene data expression | PDF",1789987117,38]